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Learn Python Coding
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Learn Python through simple, practical examples and real coding ideas. Clear explanations, useful snippets, and hands-on learning for anyone starting or improving their programming skills. Admin: @HusseinSheikho || @Hussein_Sheikho
显示更多📈 Telegram 频道 Learn Python Coding 的分析概览
频道 Learn Python Coding (@pythonre) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 39 123 名订阅者，在 技术与应用 类别中位列第 3 502，并在 印度 地区排名第 10 597 位。
📊 受众指标与增长动态
自 невідомо 创建以来，项目保持高速增长，吸引了 39 123 名订阅者。
根据 05 六月, 2026 的最新数据，频道保持稳定运转。过去 30 天订阅人数变化为 458，过去 24 小时变化为 21，整体触达仍然可观。
- 认证状态： 未认证
- 互动率 (ER)： 平均受众互动率为 2.68%。内容发布后 24 小时内通常能获得 1.04% 的反应，占订阅者总量。
- 帖子覆盖： 每篇帖子平均可获得 1 048 次浏览，首日通常累积 405 次浏览。
- 互动与反馈： 受众积极参与，单帖平均反应数为 3。
- 主题关注点： 内容集中在 math, harvard, oxford, supervision, waybienad 等核心主题上。
📝 描述与内容策略
作者将该频道定位为表达主观观点的平台：
“Learn Python through simple, practical examples and real coding ideas. Clear explanations, useful snippets, and hands-on learning for anyone starting or improving their programming skills.
Admin: @HusseinSheikho || @Hussein_Sheikho”
凭借高频更新（最新数据采集于 07 六月, 2026），频道始终保持新鲜度与高覆盖。分析显示受众积极互动，使其成为 技术与应用 类别中的关键影响点。
39 123
订阅者
+2124 小时
+1207 天
+45830 天
帖子存档
39 126
✨ Quiz: Hands-On Python 3 Concurrency With the asyncio Module ✨
📖 Test your asyncio skills with a focused quiz on coroutines, event loops, generators, and IO-bound concurrency in Python 3.
🏷️ #advanced #python
39 126
✨ Lovable | AI Coding Tools ✨
📖 An AI-powered full-stack platform that generates and deploys web applications from natural language descriptions.
🏷️ #Python
39 126
✨ Gift Cards ✨
📖 Give the Gift of Real Python with a membership gift card. An easy way to give joy to the Pythonistas in your life.
🏷️ #Python
39 126
✨ How to Run Your Python Scripts and Code ✨
📖 Learn how to run Python scripts from the command line, REPL, IDEs, and file managers on Windows, Linux, and macOS. Master all execution approaches.
🏷️ #basics #best-practices #devops #python
39 126
✨ graphical user interface (GUI) | Python Glossary ✨
📖 A visual way of interacting with a program through windows, buttons, and other on-screen elements.
🏷️ #Python
39 126
A bit of Python basics. Day 4: Getting the current time and date
The code below shows how to get the current time using the
datetime module. The now() method returns a datetime object representing the current date and time according to the system clock. The strftime() method formats the time for the desired output. This code shows how to use the datetime module together with the strftime() method to get a formatted time string in the format of hours, minutes, and seconds.
from datetime import datetime
time_now = datetime.now().strftime('%H:%M:%S')
print(f'Current time: {time_now}')Current time: 17:37:28date from the datetime module. Below, the today() method is used:
from datetime import date
today_date = date.today()
print(today_date)2023-09-2039 126
✨ How to Use the OpenRouter API to Access Multiple AI Models via Python ✨
📖 Access models from popular AI providers in Python through OpenRouter's unified API with smart routing, fallbacks, and cost controls.
🏷️ #intermediate #ai #api
39 126
A bit of basics. Day 3: Calendar in Python
There is a built-in module in Python called
calendar. We can import this module to display the calendar. There are many things you can do with the calendar.
Let's say we want to see the calendar for April 2022. We use the month class from the calendar module and pass the year and month as arguments. See below:
import calendar
month = calendar.month(2022, 4)
print(month)calendar. For example, you can use it to check whether a given year is a leap year or not. Let's check if 2022 is a leap year.
import calendar
month = calendar.isleap(2022)
print(month)False
👉 https://t.me/DataScience439 126
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Как участвовать:
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2 марта рандомно выберем трёх счастливчиков. Весна официально начинается 🌸
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✨ Spyder: Your IDE for Data Science Development in Python ✨
📖 Learn how to use the Spyder IDE, a Python code editor built for scientists, engineers, and data analysts working with data-heavy workflows.
🏷️ #basics #data-science #tools
39 126
✨ Python for Loops: The Pythonic Way ✨
📖 Learn how to use Python for loops to iterate over lists, tuples, strings, and dictionaries with Pythonic looping techniques.
🏷️ #intermediate #best-practices #python
39 126
A bit of Python basics. Day 2: merging dictionaries
If you have two dictionaries that need to be merged, this can be done in two simple ways. You can use the merge operator (
|) or the operator (**). Below we have two dictionaries: first_dict and second_dict. We will use these two methods to merge the dictionaries. Here's the code:
1️⃣ Using the merge operator (|)
first_dict = {"kelly": 23,
"Derick": 14, "John": 7}
second_dict = {"Ravi": 45, "Mpho": 67}
combined_dict = first_dict | second_dict
print(combined_dict){'kelly': 23, 'Derick': 14, 'John': 7, 'Ravi': 45, 'Mpho': 67}**)
With this operator, you need to put the dictionaries inside curly braces. In the code below, we "substitute" two dictionaries for merging using two operators *. Both dictionaries are enclosed in curly braces and separated by a comma.
first_dict = {"kelly": 23,
"Derick": 14, "John": 7}
second_dict = {"Ravi": 45, "Mpho": 67}
combined_dict = {**first_dict, **second_dict}
print(combined_dict){'kelly': 23, 'Derick': 14, 'John': 7, 'Ravi': 45, 'Mpho': 67>39 126
✨ Quiz: Build a Hash Table in Python With TDD ✨
📖 Learn how Python hashing spreads values into buckets and powers hash tables. Practice collisions, uniform distribution, and test-driven development.
🏷️ #intermediate #algorithms #data-structures
39 126
✨ command-line interface (CLI) | Python Glossary ✨
📖 A text-based method of interacting with a program by typing commands into a terminal or console.
🏷️ #Python
